
Codebook for: Williamson, M. "Covid 19 and Preferences for Progressive Taxation."

# Illinois Zip Code Level Data

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## Geographic Identifiers

**COUNTYNAME**  
County name

**health_region**  
Health region

**zipcode**  
ZIP code

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## Population Variables

**total_pop**  
Total population in ZIP code

**ln_pop**  
Natural log of total population

**under18**  
Percentage of population under 18 years old

**over65**  
Percentage of population 65 years and older

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## COVID-19 Impact Variables

**casecount_ed**  
COVID-19 case count as of Election Day (November 3, 2020)

**casecount_mail**  
COVID-19 case count as of mail-in ballot deadline

**cases_1k**  
COVID-19 cases per 1,000 residents (based on mail ballot period)

**total_deaths**  
Total COVID-19 deaths (Chicago only)

**deaths_1k**  
COVID-19 deaths per 1,000 residents

**pay_pct_loss**  
Percentage payroll loss due to pandemic

**emp_pct_loss**  
Percentage employment loss due to pandemic (year-over-year change in employment levels, averaged over pre-election months)

**treated_lock**  
Binary indicator: 1 = ZIP code subject to stricter COVID-19 lockdown restrictions, 0 = not subject to stricter restrictions

**closecall_lock**  
Binary indicator: 1 = ZIP code geographically straddles lockdown border, 0 = does not straddle border

**border_seg_fe**  
Border segment fixed effects for lockdown analysis

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## Electoral Outcome Variables

**yestaxpct**  
Percentage voting "Yes" on progressive tax referendum (2020)

**tax_turnout**  
Voter turnout for tax referendum question

**pritz18pct**  
Percentage voting for Pritzker in 2018 gubernatorial election

**pritz22pct**  
Percentage voting for Pritzker in 2022 gubernatorial election

**pritz_18_22_diff**  
Difference in Pritzker vote share between 2022 and 2018

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## Demographic & Socioeconomic Controls

**pct_black**  
Percentage of population that is Black

**pct_latino**  
Percentage of population that is Latino/Hispanic

**pct_povert**  
Percentage of population living in poverty

**median_hh_**  
Median household income

**gini_index**  
Gini coefficient measuring income inequality

**pct_bachel**  
Percentage of population with bachelor's degree or higher

**pct_emp_ed_health**  
Percentage employed in education and health services sector

**pct_emp_hospitality**  
Percentage employed in hospitality sector

**pct_emp_govt**  
Percentage employed in government sector

**pop_densit**  
Population density


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# ANES Panel Data

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## Respondent Identifiers

**id**  
Unique respondent identifier for linking observations across panel waves

**year**  
Survey year (2016 or 2020)

**panel**  
Binary indicator: 1 = respondent participated in both 2016 and 2020 waves, 0 = not in panel

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## Covariates

**age**  
Age in years

**health**  
Self-reported health status (scale: 0 = Poor, 1 = Fair, 2 = Good, 3 = Very good, 4 = Excellent)

**pid**  
Party identification: "Democrat", "Independent", or "Republican"

**pid16**  
Party identification in 2016 wave (used for conditioning in first-difference models)

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## Tax Preference Variables

**mil_tax**  
Support for millionaire's tax (-1 = oppose, 0 = neither support nor oppose, 1 = support)

**yes_mil_tax**  
Binary support for millionaire's tax: 1 = supports progressive taxation of high earners, 0 = does not support

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## COVID-19 Impact Variables

**covid_infect**  
Binary indicator: 1 = respondent or household member infected with COVID-19, 0 = no infection

**working**  
Employment status: 1 = currently working, 0 = not working

**fin_worry**  
Personal financial worry scale (higher values indicate greater financial concern)

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## Egalitarian Attitudes

**egal1**  
Egalitarian attitude item 1 

**egal2**  
Egalitarian attitude item 2

**egal3**  
Egalitarian attitude item 3 

**egal4**  
Egalitarian attitude item 4 

**egal_idx**  
Egalitarian index (composite measure of egalitarian attitudes based on egal1-egal4)


